numpy.ma.row_stack () in Python

Parameters :

tup: sequence of ndarrays. 1D arrays must have same length, arrays must have the same shape along with all the axis.

Result :

 Row-wise stacked arrays 

Code # 1: Explanation of row_stack ()

# importing libraries

import numpy as np

 
# row_stacking array

a = np.array ([ 1 , 2 , 3 ])

arr = np.ma.row_stack (a)

  

print ( "arr:" , arr)

 
# row_stacking array

b = np .array ([[ 1 ], [ 2 ], [ 3 ]])

arr1 = np.ma.row_stack (b)

 

print ( "arr1:" , arr1)

Output:

 arr: [[1] [2] [3]] arr1: [[1] [ 2] [3]] 

Code # 2: Error generated with row_stack ()

# importing libraries

import numpy as np

 
# row_stacking array

 

b = np.array ([[ 1 , 1 ], [ 2 ], [ 3 ]])

arr1 = np.ma.row_stack (b)

 

print (< / code> "arr1:" , arr1)

Output:

ValueError: all the input array dimensions except for the concatenation axis must match exactly.